The future of hydrology: An evolving science for a changing world

By Thorsten Wagener, Murugesu Sivapalan, Peter Troch, B. McGlynn, C. Harman, Hoshin V. Gupta, Praveen Kumar, P. Rao, N. Basu, Jennifer S. Wilson. 2010

692 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/de88814065bc6e6f28feb481b21ab45dc641453a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

In Global and Planetary Change

In Water Science and Technology

Citations in the corpus

What makes Darwinian hydrology "Darwinian"? Asking a different kind of question about landscapes (2014, background): “…a number of opinion papers (Sivapalan, 2003, 2005; Bloschl and Zehe, 2005; Beven, 2006; Kirchner, 2006; Newman et al., 2006; McDonnell et al., 2007; Wagener et al., 2010; King and Caylor, 2011; Kumar, 2011; Sivapalan et al., 2011b) and an increasing number of research papers (e.g., Sawicz et…”
An integrated assessment of global and regional water demands for electricity generation to 2095 (2013, background): “Many assessments have concentrated on water supply, and have produced figures [11,12,1,2] that are increasingly reliable [13], as well as models [14–18] that simulate water supply in a large number of the world’s river basins as a function of, for example, current and historical weather and runoff d”
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists (2017, background): “There are also substantial unrecognized linkages where AIs can help [Wagener et al., 2010].”
Ecohydrological advances and applications in plant-water relations research: a review (2011, background): “The science and practice of ecohydrology offers a scientific basis for designing more holistic and integrative approaches better suited to the complexity of environmental problems at the interface between hydrology and ecosystem science (Wagener et al. 2010; Wilcox 2010; Zalewski 2006).”
Global water resources modeling with an integrated model of the social-economic-environmental system (2011, background): “They represent water resources systems realistically within their broader context [109], clarify cause-and-effect relationships and test important assumptions.”
Socio‐hydrology: Use‐inspired water sustainability science for the Anthropocene (2014, positive): “For example, we should build upon the tradition in hydrology to study relatively pristine systems, in which human actions tend to be incorporated simply through parametric approximation [Wagener et al., 2010], with richer understanding of coupled human-water system dynamics [Fishman et al., 2011].”
A one‐parameter Budyko model for water balance captures emergent behavior in darwinian hydrologic models (2014, background): “Hydrological responses, such as evaporation and runoff, across time scales are signatures from the co-evolution of natural systems [Newman et al., 2006; Wagener et al., 2010; Gentine et al., 2012; Wang and Wu, 2013; Harman and Troch, 2014].”
Process‐Guided Deep Learning Predictions of Lake Water Temperature (2019, result): “Given the importance of interconnections in water resources modeling (e.g., Wagener et al., 2010), this research avenue is an important next step and has parallels with predicting stream ﬂ ow in unmo-nitored basins (e.g., Hrachowitz et al., 2013; Tongal & Booij, 2018; Worland et al., 2018).”
Groundwater sustainability: a review of the interactions between science and policy (2020, background): “Hydrology is relevant to society, and thus requires integrationwith the natural and social sciences to better support water management decisions (Wagener et al 2010, Lund 2015, Vogel et al 2015).”